Rainmaker Fellow, Atmospheric Science
Examples of the Work Fellowship projects change with Rainmaker's research and operational priorities. Examples of the work our quantitative atmospheric-science team may pursue include:
Estimating seedable hours and program opportunity for a proposed or existing operating region.
Quantitatively evaluating cloud-seeding operations, targeting decisions, or factors associated with precipitation yield.
Building ground-truth datasets and validation methods for forecasting, retrieval, or machine-learning systems.
Verifying forecasts or automating a meteorological analysis used by operations.
Comparing program designs, targeting strategies, or operational constraints across candidate regions.
What You'll Do Work with your research lead to translate an atmospheric, operational, or program-design question into measurable quantitative criteria.
Build and document the quality-controlled dataset required for the assigned project.
Apply appropriate statistical, climatological, geospatial, verification, or decision-analysis methods.
Compare results across relevant reanalysis, NWP, satellite, radar, terrain, operational, or in-situ data sources.
Incorporate practical operational constraints when they are relevant to the question.
Quantify uncertainty, missingness, bias, and sensitivity to assumptions.
Create maps, summaries, and decision-oriented outputs for scientists, operators, and program designers.
Build a documented and reusable workflow that the team can extend to future questions.
Deliver a final artifact such as a dataset, analysis, evaluation framework, operational tool, technical report, or presentation.
What We're Looking For Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible.
Background in meteorology, atmospheric science, applied mathematics, statistics, physics, hydrology, geospatial science, or a related field.
Strong Python and quantitative-analysis ability.
Experience with meteorological, climate, geospatial, radar, satellite, or model data.
Ability to make ambiguous definitions explicit and test the sensitivity of results to assumptions.
Strong scientific judgment about uncertainty, representativeness, and the difference between an analytical proxy and operational ground truth.
Clear written and verbal communication.
Availability for full-time, on-site work in El Segundo for the agreed appointment.
Particularly Relevant Experience GRIB, netCDF, xarray, reanalysis, NWP, radar, satellite, terrain, or operational datasets.
Climatology, forecast verification, spatial statistics, time-series analysis, uncertainty quantification, or decision analysis.
Cloud microphysics, precipitation, orographic meteorology, convection, weather modification, or field operations.
Reproducible scientific workflows and decision-oriented visualization.
What Success Looks Like By the end of the fellowship, you will have answered a clearly defined scientific or operational question and delivered a result the atmospheric-science team can continue using. The work should include clear uncertainty and sensitivity analysis and should not present an analytical proxy as more certain than the underlying observations support.
Fellowship Details Paid, full-time, and on-site in El Segundo.
Three-to-six-month appointment, with four months as the standard duration.
Rolling applications and project-specific start dates.
Attached directly to Rainmaker's atmospheric-science team with a named mentor.
Possible consideration for future full-time roles, without any promise or expectation of conversion.
Compensation and Benefits $8,000 per month
Benefits:
Full health coverage (medical, dental, and vision insurance)
Lunch provided when working in-office and a fully stocked kitchenette
Free EV charging at the HQ